{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/spencerpiston/Dropbox/Jennifer Hochschild intrarace class conflict/Perspectives on Politics submission/Perspectives R&R/Perspectives R&R submitted/Perspectives conditional accept/Perspectives final submission/Perspectives replication/2016 ANES analyses/2016 ANES analyses log file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}11 Dec 2020, 21:16:17

{com}. do "/var/folders/bq/_dz_dmks3fz0py_bxfg8x_sr0000gp/T//SD04452.000000"
{txt}
{com}. use "/Users/spencerpiston/Dropbox/Data/ANES/ANES 2016/anes_timeseries_2016.dta", clear
{txt}
{com}. 
. *weight
. gen weightfull=V160102
{txt}
{com}. 
. *whites work together - how important is it that whites work together to change laws unfair to whites
. gen wwt=.
{txt}(4,271 missing values generated)

{com}. replace wwt=V162316 if V162316>0
{txt}(2,563 real changes made)

{com}. replace wwt=((wwt*-1)+5)/4
{txt}(2,169 real changes made)

{com}. tab wwt

        {txt}wwt {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        551       21.50       21.50
{txt}        .25 {c |}{res}        319       12.45       33.94
{txt}         .5 {c |}{res}        728       28.40       62.35
{txt}        .75 {c |}{res}        571       22.28       84.63
{txt}          1 {c |}{res}        394       15.37      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,563      100.00
{txt}
{com}. 
. *whites unable to find job because hiring minorities instead
. gen wutfj=.
{txt}(4,271 missing values generated)

{com}. replace wutfj=V162317 if V162317>0
{txt}(2,573 real changes made)

{com}. replace wutfj=((wutfj*-1)+5)/4
{txt}(2,386 real changes made)

{com}. tab wutfj

      {txt}wutfj {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        516       20.05       20.05
{txt}        .25 {c |}{res}        837       32.53       52.58
{txt}         .5 {c |}{res}        691       26.86       79.44
{txt}        .75 {c |}{res}        342       13.29       92.73
{txt}          1 {c |}{res}        187        7.27      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,573      100.00
{txt}
{com}. 
. *government treats blacks better than whites
. gen gtbb=.
{txt}(4,271 missing values generated)

{com}. replace gtbb=7 if V162318==3 & V162319==1
{txt}(185 real changes made)

{com}. replace gtbb=6 if V162318==3 & V162319==2
{txt}(298 real changes made)

{com}. replace gtbb=5 if V162318==3 & V162319==3
{txt}(187 real changes made)

{com}. replace gtbb=4 if V162318==2
{txt}(1,539 real changes made)

{com}. replace gtbb=3 if V162318==1 & V162319==3
{txt}(213 real changes made)

{com}. replace gtbb=2 if V162318==1 & V162319==2
{txt}(539 real changes made)

{com}. replace gtbb=1 if V162318==1 & V162319==1
{txt}(606 real changes made)

{com}. replace gtbb=(gtbb-1)/6
{txt}(3,567 real changes made)

{com}. 
. *police treat blacks better than whites
. gen ptbb=.
{txt}(4,271 missing values generated)

{com}. replace ptbb=7 if V162320==3 & V162321==1
{txt}(5 real changes made)

{com}. replace ptbb=6 if V162320==3 & V162321==2
{txt}(31 real changes made)

{com}. replace ptbb=5 if V162320==3 & V162321==3
{txt}(18 real changes made)

{com}. replace ptbb=4 if V162320==2
{txt}(1,471 real changes made)

{com}. replace ptbb=3 if V162320==1 & V162321==3
{txt}(274 real changes made)

{com}. replace ptbb=2 if V162320==1 & V162321==2
{txt}(711 real changes made)

{com}. replace ptbb=1 if V162320==1 & V162321==1
{txt}(1,066 real changes made)

{com}. replace ptbb=(ptbb-1)/6
{txt}(3,576 real changes made)

{com}. 
. *White (non-Hispanic)
. gen white=0
{txt}
{com}. recode white 0=1 if V161310x==1
{txt}(white: 3038 changes made)

{com}. 
. *HS 
. gen hs=.
{txt}(4,271 missing values generated)

{com}. replace hs=0 if V161270>=1 & V161270<=8
{txt}(282 real changes made)

{com}. replace hs=0 if V161270>=10 & V161270<=16
{txt}(3,135 real changes made)

{com}. replace hs=1 if V161270==9
{txt}(810 real changes made)

{com}. replace hs=1 if V161270==90
{txt}(5 real changes made)

{com}. tab hs V161270, miss

           {txt}{c |}            PRE: Highest level of Education
        hs {c |} -9. Refus  1. Less t  2. 1st, 2  3. 5th or  4. 7th or {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}         0          1          3         15         22 {txt}{c |}{res}     3,417 
{txt}         1 {c |}{res}         0          0          0          0          0 {txt}{c |}{res}       815 
{txt}         . {c |}{res}        15          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        15          1          3         15         22 {txt}{c |}{res}     4,271 


           {txt}{c |}            PRE: Highest level of Education
        hs {c |} 5. 9th gr  6. 10th g  7. 11th g  8. 12th g  9. High s {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}        32         40         62        107          0 {txt}{c |}{res}     3,417 
{txt}         1 {c |}{res}         0          0          0          0        810 {txt}{c |}{res}       815 
{txt}         . {c |}{res}         0          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        32         40         62        107        810 {txt}{c |}{res}     4,271 


           {txt}{c |}            PRE: Highest level of Education
        hs {c |} 10. Some   11. Assoc  12. Assoc  13. Bache  14. Maste {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}       899        313        288        955        499 {txt}{c |}{res}     3,417 
{txt}         1 {c |}{res}         0          0          0          0          0 {txt}{c |}{res}       815 
{txt}         . {c |}{res}         0          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       899        313        288        955        499 {txt}{c |}{res}     4,271 


           {txt}{c |}       PRE: Highest level of Education
        hs {c |} 15. Profe  16. Docto  90. Other  95. Other {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
         0 {c |}{res}        88         93          0          0 {txt}{c |}{res}     3,417 
{txt}         1 {c |}{res}         0          0          5          0 {txt}{c |}{res}       815 
{txt}         . {c |}{res}         0          0          0         24 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}        88         93          5         24 {txt}{c |}{res}     4,271 

{txt}
{com}. 
. *Some College
. gen somecollege=.
{txt}(4,271 missing values generated)

{com}. replace somecollege=0 if V161270>=1 & V161270<=9
{txt}(1,092 real changes made)

{com}. replace somecollege=0 if V161270>=13 & V161270<=90
{txt}(1,640 real changes made)

{com}. replace somecollege=1 if V161270>=10 & V161270<=12
{txt}(1,500 real changes made)

{com}. tab somecollege V161270, miss

{txt}somecolleg {c |}            PRE: Highest level of Education
         e {c |} -9. Refus  1. Less t  2. 1st, 2  3. 5th or  4. 7th or {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}         0          1          3         15         22 {txt}{c |}{res}     2,732 
{txt}         1 {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,500 
{txt}         . {c |}{res}        15          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        15          1          3         15         22 {txt}{c |}{res}     4,271 


{txt}somecolleg {c |}            PRE: Highest level of Education
         e {c |} 5. 9th gr  6. 10th g  7. 11th g  8. 12th g  9. High s {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}        32         40         62        107        810 {txt}{c |}{res}     2,732 
{txt}         1 {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,500 
{txt}         . {c |}{res}         0          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        32         40         62        107        810 {txt}{c |}{res}     4,271 


{txt}somecolleg {c |}            PRE: Highest level of Education
         e {c |} 10. Some   11. Assoc  12. Assoc  13. Bache  14. Maste {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}         0          0          0        955        499 {txt}{c |}{res}     2,732 
{txt}         1 {c |}{res}       899        313        288          0          0 {txt}{c |}{res}     1,500 
{txt}         . {c |}{res}         0          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       899        313        288        955        499 {txt}{c |}{res}     4,271 


{txt}somecolleg {c |}       PRE: Highest level of Education
         e {c |} 15. Profe  16. Docto  90. Other  95. Other {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
         0 {c |}{res}        88         93          5          0 {txt}{c |}{res}     2,732 
{txt}         1 {c |}{res}         0          0          0          0 {txt}{c |}{res}     1,500 
{txt}         . {c |}{res}         0          0          0         24 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}        88         93          5         24 {txt}{c |}{res}     4,271 

{txt}
{com}. gen sc=somecollege
{txt}(39 missing values generated)

{com}. 
. *College Plus
. gen collegeplus=.
{txt}(4,271 missing values generated)

{com}. replace collegeplus=0 if V161270>=1 & V161270<=12
{txt}(2,592 real changes made)

{com}. replace collegeplus=0 if V161270==90
{txt}(5 real changes made)

{com}. replace collegeplus=1 if V161270>=13 & V161270<=16
{txt}(1,635 real changes made)

{com}. tab collegeplus V161270, miss

{txt}collegeplu {c |}            PRE: Highest level of Education
         s {c |} -9. Refus  1. Less t  2. 1st, 2  3. 5th or  4. 7th or {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}         0          1          3         15         22 {txt}{c |}{res}     2,597 
{txt}         1 {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,635 
{txt}         . {c |}{res}        15          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        15          1          3         15         22 {txt}{c |}{res}     4,271 


{txt}collegeplu {c |}            PRE: Highest level of Education
         s {c |} 5. 9th gr  6. 10th g  7. 11th g  8. 12th g  9. High s {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}        32         40         62        107        810 {txt}{c |}{res}     2,597 
{txt}         1 {c |}{res}         0          0          0          0          0 {txt}{c |}{res}     1,635 
{txt}         . {c |}{res}         0          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}        32         40         62        107        810 {txt}{c |}{res}     4,271 


{txt}collegeplu {c |}            PRE: Highest level of Education
         s {c |} 10. Some   11. Assoc  12. Assoc  13. Bache  14. Maste {c |}     Total
{hline 11}{c +}{hline 55}{c +}{hline 10}
         0 {c |}{res}       899        313        288          0          0 {txt}{c |}{res}     2,597 
{txt}         1 {c |}{res}         0          0          0        955        499 {txt}{c |}{res}     1,635 
{txt}         . {c |}{res}         0          0          0          0          0 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 55}{c +}{hline 10}
     Total {c |}{res}       899        313        288        955        499 {txt}{c |}{res}     4,271 


{txt}collegeplu {c |}       PRE: Highest level of Education
         s {c |} 15. Profe  16. Docto  90. Other  95. Other {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
         0 {c |}{res}         0          0          5          0 {txt}{c |}{res}     2,597 
{txt}         1 {c |}{res}        88         93          0          0 {txt}{c |}{res}     1,635 
{txt}         . {c |}{res}         0          0          0         24 {txt}{c |}{res}        39 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}        88         93          5         24 {txt}{c |}{res}     4,271 

{txt}
{com}. gen cp=collegeplus
{txt}(39 missing values generated)

{com}. 
. lab var hs "High School Grad"
{txt}
{com}. lab var sc "Some College"
{txt}
{com}. lab var cp "College Plus"
{txt}
{com}. 
. svyset [pweight=weightfull]

      {txt}pweight:{col 16}{res}weightfull
          {txt}VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}<observations>
        FPC 1:{col 16}<zero>
{p2colreset}{...}

{com}. xi: eststo Whites2016: svy, subpop(white): reg wwt hs sc cp
{txt}(running regress on estimation sample)
{res}
{txt}Survey: Linear regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     4,190
{txt}{col 1}Number of PSUs{col 20}= {res}    4,190{txt}{col 49}Population size{col 67}={res}  3,566.615
{txt}{col 49}Subpop. no. obs{col 67}={res}      2,550
{txt}{col 49}Subpop. size{col 67}={res}  2,448.161
{txt}{col 49}Design df{col 67}= {res}     4,189
{txt}{col 49}F({res}   3{txt},{res}   4187{txt}){col 67}= {res}     12.78
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0171

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}         wwt{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hs {c |}{col 14}{res}{space 2}-.0044193{col 26}{space 2}  .044789{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-.0922295{col 67}{space 3} .0833908
{txt}{space 10}sc {c |}{col 14}{res}{space 2} .0110816{col 26}{space 2}  .043123{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.0734624{col 67}{space 3} .0956256
{txt}{space 10}cp {c |}{col 14}{res}{space 2}-.0882666{col 26}{space 2} .0428103{col 37}{space 1}   -2.06{col 46}{space 3}0.039{col 54}{space 4}-.1721974{col 67}{space 3}-.0043357
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5214176{col 26}{space 2} .0412257{col 37}{space 1}   12.65{col 46}{space 3}0.000{col 54}{space 4} .4405932{col 67}{space 3} .6022419
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. coefplot (Whites2016, label(Whites)), drop(_cons) xline(0) title("Whites Work Together")
{res}{txt}
{com}. graph save graph1, replace
{res}{txt}(file graph1.gph saved)

{com}. 
. svyset [pweight=weightfull]

      {txt}pweight:{col 16}{res}weightfull
          {txt}VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}<observations>
        FPC 1:{col 16}<zero>
{p2colreset}{...}

{com}. xi: eststo Whites2016: svy, subpop(white): reg wutfj hs sc cp
{txt}(running regress on estimation sample)
{res}
{txt}Survey: Linear regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     4,199
{txt}{col 1}Number of PSUs{col 20}= {res}    4,199{txt}{col 49}Population size{col 67}={res}  3,573.725
{txt}{col 49}Subpop. no. obs{col 67}={res}      2,559
{txt}{col 49}Subpop. size{col 67}={res}  2,455.271
{txt}{col 49}Design df{col 67}= {res}     4,198
{txt}{col 49}F({res}   3{txt},{res}   4196{txt}){col 67}= {res}     34.77
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0480

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}       wutfj{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hs {c |}{col 14}{res}{space 2}-.0461265{col 26}{space 2} .0389673{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4}-.1225231{col 67}{space 3}   .03027
{txt}{space 10}sc {c |}{col 14}{res}{space 2}-.0464724{col 26}{space 2} .0372942{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.1195887{col 67}{space 3} .0266439
{txt}{space 10}cp {c |}{col 14}{res}{space 2}-.1742385{col 26}{space 2} .0367872{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-.2463609{col 67}{space 3}-.1021161
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4825997{col 26}{space 2}  .035574{col 37}{space 1}   13.57{col 46}{space 3}0.000{col 54}{space 4} .4128558{col 67}{space 3} .5523436
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. coefplot (Whites2016, label(Whites)), drop(_cons) xline(0) title("Whites Unable to Find Job")
{res}{txt}
{com}. graph save graph2, replace
{res}{txt}(file graph2.gph saved)

{com}. 
. svyset [pweight=weightfull]

      {txt}pweight:{col 16}{res}weightfull
          {txt}VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}<observations>
        FPC 1:{col 16}<zero>
{p2colreset}{...}

{com}. xi: eststo Whites2016: svy, subpop(white): reg gtbb hs sc cp
{txt}(running regress on estimation sample)
{res}
{txt}Survey: Linear regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     4,214
{txt}{col 1}Number of PSUs{col 20}= {res}    4,214{txt}{col 49}Population size{col 67}={res}  3,592.954
{txt}{col 49}Subpop. no. obs{col 67}={res}      2,574
{txt}{col 49}Subpop. size{col 67}={res}    2,474.5
{txt}{col 49}Design df{col 67}= {res}     4,213
{txt}{col 49}F({res}   3{txt},{res}   4211{txt}){col 67}= {res}      7.30
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.0108

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        gtbb{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hs {c |}{col 14}{res}{space 2} .0434426{col 26}{space 2} .0334202{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.0220786{col 67}{space 3} .1089639
{txt}{space 10}sc {c |}{col 14}{res}{space 2} .0365913{col 26}{space 2} .0321675{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-.0264739{col 67}{space 3} .0996565
{txt}{space 10}cp {c |}{col 14}{res}{space 2}-.0176575{col 26}{space 2} .0318685{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.0801366{col 67}{space 3} .0448216
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4511246{col 26}{space 2}  .030533{col 37}{space 1}   14.77{col 46}{space 3}0.000{col 54}{space 4} .3912638{col 67}{space 3} .5109853
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. coefplot (Whites2016, label(Whites)), drop(_cons) xline(0) title("Govt Treats Whites Worse")
{res}{txt}
{com}. graph save graph3, replace
{res}{txt}(file graph3.gph saved)

{com}. 
. svyset [pweight=weightfull]

      {txt}pweight:{col 16}{res}weightfull
          {txt}VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}<observations>
        FPC 1:{col 16}<zero>
{p2colreset}{...}

{com}. xi: eststo Whites2016: svy, subpop(white): reg ptbb hs sc cp
{txt}(running regress on estimation sample)
{res}
{txt}Survey: Linear regression

{col 1}Number of strata{col 20}= {res}        1{txt}{col 49}Number of obs{col 67}= {res}     4,220
{txt}{col 1}Number of PSUs{col 20}= {res}    4,220{txt}{col 49}Population size{col 67}={res}  3,596.694
{txt}{col 49}Subpop. no. obs{col 67}={res}      2,580
{txt}{col 49}Subpop. size{col 67}={res}   2,478.24
{txt}{col 49}Design df{col 67}= {res}     4,219
{txt}{col 49}F({res}   3{txt},{res}   4217{txt}){col 67}= {res}     32.55
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0498

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}  Linearized
{col 1}        ptbb{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hs {c |}{col 14}{res}{space 2} .0138368{col 26}{space 2} .0265877{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0382892{col 67}{space 3} .0659627
{txt}{space 10}sc {c |}{col 14}{res}{space 2}-.0257679{col 26}{space 2} .0256608{col 37}{space 1}   -1.00{col 46}{space 3}0.315{col 54}{space 4}-.0760766{col 67}{space 3} .0245408
{txt}{space 10}cp {c |}{col 14}{res}{space 2}-.1006763{col 26}{space 2} .0254135{col 37}{space 1}   -3.96{col 46}{space 3}0.000{col 54}{space 4}-.1505002{col 67}{space 3}-.0508524
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3517029{col 26}{space 2} .0243545{col 37}{space 1}   14.44{col 46}{space 3}0.000{col 54}{space 4} .3039553{col 67}{space 3} .3994506
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. coefplot (Whites2016, label(Whites)), drop(_cons) xline(0) title("Police Treat Whites Worse")
{res}{txt}
{com}. graph save graph4, replace
{res}{txt}(file graph4.gph saved)

{com}. 
. graph combine graph1.gph graph2.gph graph3.gph graph4.gph, graphregion( color(white) ) title("")
{res}{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/spencerpiston/Dropbox/Jennifer Hochschild intrarace class conflict/Perspectives on Politics submission/Perspectives R&R/Perspectives R&R submitted/Perspectives conditional accept/Perspectives final submission/Perspectives replication/2016 ANES analyses/2016 ANES analyses log file.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}11 Dec 2020, 21:16:56
{txt}{.-}
{smcl}
{txt}{sf}{ul off}